RECONSTRUÇÃO DA TRAJETÓRIA DE PROJÉTEIS BALÍSTICOS USANDO ALGORITMOS GENÉTICOS

Abstract

Artificial Intelligence (AI) based interdisciplinary applications are becoming increasingly pervasive, with associated current and foreseeable impacts on services, production, labour, and education. Consequently, the integration of AI training into Engineering undergraduate courses is of great importance. However, each area of Engineering has its peculiarities, and those should be taken into consideration when teaching AI-related topics. Accordingly, this paper employs a didactic example widely used in undergraduate Mechanical Engineering courses as an entry point to the applied study of AI. The problem in question is determining an oblique projectile trajectory from noisy simulated experimental data taken along its route. This is an inverse problem that is here solved using Genetic Algorithms, which is an implementation of the so-called Evolutionary Learning